1 Packages

library(ggplot2)
library(dplyr)
library(tidyr)
library(kableExtra)
library(sads)
library(latexpdf)
library(igraph)
library(poweRlaw)
library(readr)

2 Suggested steps

Authors of refered bibliographies suggested the following steps to analyse dataset.

  1. Initial estimation of \(x_{min}\) and \(\alpha\), using the methods described in Section Fitting power laws to empirical data.

  2. Make a CDF (cumulative distribution function) with that.

  3. Kolgomorov-Smirnov test to determine minimum \(D\).

  4. Repeat steps 1-3 to scanning whole \((x_{min}, x_{max})\) range to identify \(x_{min}\) for which \(D\) is minimal.

  5. Investigate goodness of fit with bootstrapping, using the method described in Section Testing the power-law hypothesis.

  • Assign \(D_{min}\) to \(x_{min}\) which is \(D^{real}\).

  • Generate a data sequence of points with bootstrapping and determining \(D^{syntetic}\).

  • Determine \(P\) value of null hypothesis that claims the distribution is power-law.

  • If resulting P-value is greater than 0.05 (\(p\geq 0.05\)) than null hypothesis is true (that’s say, the power law is a plausible hypothesis for the data), otherwise it is rejected.

  1. Fitting real distribution
  • Choose \(k_{cut}\) and \(k_{sat}\) to optimal cut.

  • Estimate \(\alpha\) (scaling parameter).

  • Calculate \(D\) with Kolgomorov-Smirnov test.

  • Repeat steps 1-3 to determine real \(k_{cut}\) and \(k_{sat}\) for which \(D\) is minimal.

  1. Compare the power law with alternative hypotheses via a likelihood ratio test, as described in Section Alternative distributions.
  • For each alternative, if the calculated likelihood ratio is significantly different from zero, then its sign indicates whether the alternative is favored over the power-law model or not.

3 Our data

# Data Lecture
data <- read.csv("../data/index_keyword_frequency.csv")
head(data)
##              Concepts Total
## 1      climate change   277
## 2       vulnerability   218
## 3      sustainability   168
## 4 adaptive management   156
## 5 disaster management   152
## 6     risk assessment   150

4 Power Law Analysis

4.1 Table

word_count <- data %>%
  arrange(desc(Total)) %>%
  mutate(count = Total,
         proportion = round(count / sum(count), 2),
         relation = round(first(count) / count, 2),
         rank = row_number(),
  ) %>%
  relocate(rank, .before = Concepts)

df.word_count <- word_count %>% 
  select(rank, Concepts, Total, proportion, relation)

# Display the results in a table
df.word_count %>%
  kable(align = "lcc") %>% 
  kable_styling(latex_options = "HOLD_position") %>%
  kable_classic_2(full_width = FALSE)
rank Concepts Total proportion relation
1 climate change 277 0.02 1.00
2 vulnerability 218 0.01 1.27
3 sustainability 168 0.01 1.65
4 adaptive management 156 0.01 1.78
5 disaster management 152 0.01 1.82
6 risk assessment 150 0.01 1.85
7 human 124 0.01 2.23
8 united states 122 0.01 2.27
9 decision making 109 0.01 2.54
10 governance approach 109 0.01 2.54
11 china 104 0.01 2.66
12 sustainable development 102 0.01 2.72
13 urban area 102 0.01 2.72
14 article 94 0.01 2.95
15 urban planning 92 0.01 3.01
16 livelihood 85 0.01 3.26
17 conceptual framework 81 0.00 3.42
18 social capital 73 0.00 3.79
19 perception 70 0.00 3.96
20 stakeholder 70 0.00 3.96
21 humans 68 0.00 4.07
22 fishery management 68 0.00 4.07
23 local participation 66 0.00 4.20
24 australia 66 0.00 4.20
25 natural disaster 64 0.00 4.33
26 ecosystem resilience 63 0.00 4.40
27 urbanization 61 0.00 4.54
28 resilience 59 0.00 4.69
29 covid-19 59 0.00 4.69
30 rural area 58 0.00 4.78
31 flooding 55 0.00 5.04
32 strategic approach 55 0.00 5.04
33 urban development 54 0.00 5.13
34 policy making 51 0.00 5.43
35 spatiotemporal analysis 49 0.00 5.65
36 fishing community 48 0.00 5.77
37 natural hazard 45 0.00 6.16
38 adaptation 44 0.00 6.30
39 climate effect 43 0.00 6.44
40 qualitative analysis 42 0.00 6.60
41 india 42 0.00 6.60
42 united kingdom 42 0.00 6.60
43 female 41 0.00 6.76
44 migration 41 0.00 6.76
45 environmental change 41 0.00 6.76
46 bangladesh 40 0.00 6.92
47 questionnaire survey 40 0.00 6.92
48 hazard assessment 39 0.00 7.10
49 disasters 39 0.00 7.10
50 flood 38 0.00 7.29
51 adult 38 0.00 7.29
52 disaster 38 0.00 7.29
53 participatory approach 37 0.00 7.49
54 environmental policy 37 0.00 7.49
55 male 37 0.00 7.49
56 social network 36 0.00 7.69
57 poverty 36 0.00 7.69
58 hazard management 36 0.00 7.69
59 nature-society relations 34 0.00 8.15
60 literature review 34 0.00 8.15
61 government 34 0.00 8.15
62 food security 33 0.00 8.39
63 south africa 32 0.00 8.66
64 psychology 32 0.00 8.66
65 socioeconomic conditions 32 0.00 8.66
66 disaster planning 32 0.00 8.66
67 comparative study 32 0.00 8.66
68 spatial analysis 31 0.00 8.94
69 risk perception 31 0.00 8.94
70 local government 31 0.00 8.94
71 coping strategy 30 0.00 9.23
72 neoliberalism 30 0.00 9.23
73 urban population 30 0.00 9.23
74 water management 29 0.00 9.55
75 rural economy 29 0.00 9.55
76 rural population 29 0.00 9.55
77 developing world 29 0.00 9.55
78 innovation 29 0.00 9.55
79 rural development 28 0.00 9.89
80 household survey 28 0.00 9.89
81 empirical analysis 28 0.00 9.89
82 natural resource 28 0.00 9.89
83 gis 27 0.00 10.26
84 policy approach 27 0.00 10.26
85 regression analysis 27 0.00 10.26
86 indonesia 26 0.00 10.65
87 coastal zone 26 0.00 10.65
88 flood control 26 0.00 10.65
89 brazil 26 0.00 10.65
90 canada 26 0.00 10.65
91 informal settlement 25 0.00 11.08
92 quantitative analysis 25 0.00 11.08
93 resource management 25 0.00 11.08
94 socioeconomic status 25 0.00 11.08
95 drought 25 0.00 11.08
96 water supply 25 0.00 11.08
97 queensland 25 0.00 11.08
98 research work 24 0.00 11.54
99 economic development 24 0.00 11.54
100 floods 24 0.00 11.54
101 community development 24 0.00 11.54
102 socioeconomic impact 24 0.00 11.54
103 institutional framework 24 0.00 11.54
104 priority journal 23 0.00 12.04
105 future prospect 23 0.00 12.04
106 collective action 23 0.00 12.04
107 africa 23 0.00 12.04
108 learning 23 0.00 12.04
109 extreme event 23 0.00 12.04
110 knowledge 22 0.00 12.59
111 numerical model 22 0.00 12.59
112 assessment method 22 0.00 12.59
113 social media 22 0.00 12.59
114 thailand 22 0.00 12.59
115 environmental management 21 0.00 13.19
116 theoretical study 21 0.00 13.19
117 social impact 21 0.00 13.19
118 tourism development 21 0.00 13.19
119 state role 21 0.00 13.19
120 education 21 0.00 13.19
121 biodiversity 21 0.00 13.19
122 urban growth 21 0.00 13.19
123 netherlands 20 0.00 13.85
124 coastal zone management 20 0.00 13.85
125 public health 20 0.00 13.85
126 ecosystem service 20 0.00 13.85
127 fishery policy 20 0.00 13.85
128 capacity building 20 0.00 13.85
129 italy 20 0.00 13.85
130 environmental planning 20 0.00 13.85
131 urban policy 20 0.00 13.85
132 tourist destination 20 0.00 13.85
133 neighborhood 20 0.00 13.85
134 risk management 19 0.00 14.58
135 village 19 0.00 14.58
136 mexico [north america] 19 0.00 14.58
137 small scale industry 19 0.00 14.58
138 human rights 19 0.00 14.58
139 rural society 19 0.00 14.58
140 ecology 19 0.00 14.58
141 policy implementation 19 0.00 14.58
142 environmental protection 19 0.00 14.58
143 civil society 19 0.00 14.58
144 refugee 19 0.00 14.58
145 chile 18 0.00 15.39
146 political economy 18 0.00 15.39
147 viet nam 18 0.00 15.39
148 new zealand 18 0.00 15.39
149 equity 18 0.00 15.39
150 employment 18 0.00 15.39
151 indigenous population 18 0.00 15.39
152 taiwan 18 0.00 15.39
153 fishing 18 0.00 15.39
154 middle aged 18 0.00 15.39
155 land use change 18 0.00 15.39
156 economic and social effects 18 0.00 15.39
157 complexity 18 0.00 15.39
158 ecotourism 17 0.00 16.29
159 sunda isles 17 0.00 16.29
160 iran 17 0.00 16.29
161 land use 17 0.00 16.29
162 nepal 17 0.00 16.29
163 social networking (online) 17 0.00 16.29
164 community response 17 0.00 16.29
165 nongovernmental organization 17 0.00 16.29
166 management practice 17 0.00 16.29
167 economic impact 16 0.00 17.31
168 young adult 16 0.00 17.31
169 environmental impact 16 0.00 17.31
170 investment 16 0.00 17.31
171 spain 16 0.00 17.31
172 politics 16 0.00 17.31
173 metropolitan area 16 0.00 17.31
174 demography 16 0.00 17.31
175 ghana 16 0.00 17.31
176 social change 16 0.00 17.31
177 protected area 16 0.00 17.31
178 social justice 15 0.00 18.47
179 organization and management 15 0.00 18.47
180 human experiment 15 0.00 18.47
181 economics 15 0.00 18.47
182 north america 15 0.00 18.47
183 ethnography 15 0.00 18.47
184 fishery 15 0.00 18.47
185 england 15 0.00 18.47
186 tanzania 15 0.00 18.47
187 quality of life 15 0.00 18.47
188 disaster relief 15 0.00 18.47
189 qualitative research 15 0.00 18.47
190 multicriteria analysis 15 0.00 18.47
191 adolescent 15 0.00 18.47
192 income 15 0.00 18.47
193 europe 15 0.00 18.47
194 immigrant 15 0.00 18.47
195 tourism 15 0.00 18.47
196 agriculture 15 0.00 18.47
197 anthozoa 14 0.00 19.79
198 violence 14 0.00 19.79
199 water resource 14 0.00 19.79
200 leadership 14 0.00 19.79
201 public attitude 14 0.00 19.79
202 womens status 14 0.00 19.79
203 uncertainty analysis 14 0.00 19.79
204 social participation 14 0.00 19.79
205 urban economy 14 0.00 19.79
206 power relations 14 0.00 19.79
207 labor migration 14 0.00 19.79
208 romania 14 0.00 19.79
209 global change 14 0.00 19.79
210 germany 14 0.00 19.79
211 crisis management 14 0.00 19.79
212 mobility 14 0.00 19.79
213 resource use 14 0.00 19.79
214 hurricane 14 0.00 19.79
215 network analysis 13 0.00 21.31
216 economic growth 13 0.00 21.31
217 organizational framework 13 0.00 21.31
218 risk 13 0.00 21.31
219 timor-leste 13 0.00 21.31
220 environmental indicator 13 0.00 21.31
221 louisiana 13 0.00 21.31
222 interdisciplinary approach 13 0.00 21.31
223 philippines 13 0.00 21.31
224 integrated approach 13 0.00 21.31
225 urban agriculture 13 0.00 21.31
226 organization 13 0.00 21.31
227 environmental risk 13 0.00 21.31
228 reconstruction 13 0.00 21.31
229 social resilience 13 0.00 21.31
230 sea level change 13 0.00 21.31
231 marine park 13 0.00 21.31
232 malaysia 13 0.00 21.31
233 land management 13 0.00 21.31
234 international migration 13 0.00 21.31
235 asia 13 0.00 21.31
236 fishing industry 13 0.00 21.31
237 tourism management 13 0.00 21.31
238 citizenship 13 0.00 21.31
239 population migration 13 0.00 21.31
240 resource allocation 13 0.00 21.31
241 martes 12 0.00 23.08
242 aged 12 0.00 23.08
243 social work 12 0.00 23.08
244 spatial planning 12 0.00 23.08
245 low income population 12 0.00 23.08
246 empowerment 12 0.00 23.08
247 earthquake 12 0.00 23.08
248 private sector 12 0.00 23.08
249 epidemic 12 0.00 23.08
250 smart city 12 0.00 23.08
251 coral reef 12 0.00 23.08
252 environmental justice 12 0.00 23.08
253 urban resilience 12 0.00 23.08
254 haiti 12 0.00 23.08
255 population statistics 12 0.00 23.08
256 gender relations 12 0.00 23.08
257 rural-urban migration 12 0.00 23.08
258 poverty alleviation 12 0.00 23.08
259 lesser sunda islands 12 0.00 23.08
260 smallholder 12 0.00 23.08
261 nigeria 12 0.00 23.08
262 conservation management 12 0.00 23.08
263 japan 12 0.00 23.08
264 accessibility 12 0.00 23.08
265 community resource management 11 0.00 25.18
266 social behavior 11 0.00 25.18
267 colombia 11 0.00 25.18
268 decentralization 11 0.00 25.18
269 human settlement 11 0.00 25.18
270 california 11 0.00 25.18
271 kenya 11 0.00 25.18
272 social status 11 0.00 25.18
273 agglomeration 11 0.00 25.18
274 eurasia 11 0.00 25.18
275 pacific ocean 11 0.00 25.18
276 european union 11 0.00 25.18
277 farmers attitude 11 0.00 25.18
278 globalization 11 0.00 25.18
279 united nations 11 0.00 25.18
280 egypt 11 0.00 25.18
281 greece 11 0.00 25.18
282 regional development 11 0.00 25.18
283 timor 11 0.00 25.18
284 social support 11 0.00 25.18
285 ireland 11 0.00 25.18
286 agricultural worker 11 0.00 25.18
287 fishery economics 11 0.00 25.18
288 racism 11 0.00 25.18
289 farming system 11 0.00 25.18
290 planning process 11 0.00 25.18
291 landslide 11 0.00 25.18
292 climate variation 11 0.00 25.18
293 new orleans 11 0.00 25.18
294 ethics 11 0.00 25.18
295 environmental assessment 10 0.00 27.70
296 developing countries 10 0.00 27.70
297 controlled study 10 0.00 27.70
298 factor analysis 10 0.00 27.70
299 food production 10 0.00 27.70
300 disaster prevention 10 0.00 27.70
301 land degradation 10 0.00 27.70
302 sri lanka 10 0.00 27.70
303 development strategy 10 0.00 27.70
304 historical perspective 10 0.00 27.70
305 public space 10 0.00 27.70
306 anthropogenic effect 10 0.00 27.70
307 traditional knowledge 10 0.00 27.70
308 pandemic 10 0.00 27.70
309 urban politics 10 0.00 27.70
310 earthquake event 10 0.00 27.70
311 socioeconomic indicator 10 0.00 27.70
312 crop production 10 0.00 27.70
313 food supply 10 0.00 27.70
314 pakistan 10 0.00 27.70
315 lebanon 10 0.00 27.70
316 health risk 10 0.00 27.70
317 flood damage 10 0.00 27.70
318 immigration policy 10 0.00 27.70
319 community care 10 0.00 27.70
320 urban housing 10 0.00 27.70
321 methodology 10 0.00 27.70
322 household income 10 0.00 27.70
323 ecosystems 10 0.00 27.70
324 urban design 10 0.00 27.70
325 community resiliences 10 0.00 27.70
326 risk factor 10 0.00 27.70
327 social theory 10 0.00 27.70
328 infrastructural development 10 0.00 27.70
329 fisheries 10 0.00 27.70
330 comanagement 9 0.00 30.78
331 urban renewal 9 0.00 30.78
332 france 9 0.00 30.78
333 community organization 9 0.00 30.78
334 land use planning 9 0.00 30.78
335 compliance 9 0.00 30.78
336 conservation 9 0.00 30.78
337 child 9 0.00 30.78
338 hurricane katrina 2005 9 0.00 30.78
339 catastrophic event 9 0.00 30.78
340 epidemiology 9 0.00 30.78
341 papua new guinea 9 0.00 30.78
342 mountain region 9 0.00 30.78
343 poland [central europe] 9 0.00 30.78
344 sub-saharan africa 9 0.00 30.78
345 housing 9 0.00 30.78
346 atlantic ocean 9 0.00 30.78
347 forestry 9 0.00 30.78
348 agricultural development 9 0.00 30.78
349 rainfall 9 0.00 30.78
350 gender 9 0.00 30.78
351 new york [united states] 9 0.00 30.78
352 data set 9 0.00 30.78
353 seismic hazard 9 0.00 30.78
354 marginalization 9 0.00 30.78
355 human capital 9 0.00 30.78
356 cambodia 9 0.00 30.78
357 local planning 9 0.00 30.78
358 marine environment 9 0.00 30.78
359 business development 9 0.00 30.78
360 leeward islands [lesser antilles] 9 0.00 30.78
361 urban society 9 0.00 30.78
362 financial crisis 9 0.00 30.78
363 environmental degradation 9 0.00 30.78
364 infrastructure 9 0.00 30.78
365 interview 9 0.00 30.78
366 communication 9 0.00 30.78
367 relocation 9 0.00 30.78
368 southeast asia 9 0.00 30.78
369 sustainable development goal 9 0.00 30.78
370 environmental factor 8 0.00 34.62
371 environmental issue 8 0.00 34.62
372 index method 8 0.00 34.62
373 social stigma 8 0.00 34.62
374 finland 8 0.00 34.62
375 uncertainty 8 0.00 34.62
376 bottom-up approach 8 0.00 34.62
377 social structure 8 0.00 34.62
378 irrigation 8 0.00 34.62
379 latin america 8 0.00 34.62
380 economic conditions 8 0.00 34.62
381 building 8 0.00 34.62
382 singapore [southeast asia] 8 0.00 34.62
383 cluster analysis 8 0.00 34.62
384 social policy 8 0.00 34.62
385 mitigation 8 0.00 34.62
386 health promotion 8 0.00 34.62
387 dhaka [bangladesh] 8 0.00 34.62
388 spatial variation 8 0.00 34.62
389 social development 8 0.00 34.62
390 case-studies 8 0.00 34.62
391 honshu 8 0.00 34.62
392 hiv infections 8 0.00 34.62
393 russian federation 8 0.00 34.62
394 state building 8 0.00 34.62
395 political relations 8 0.00 34.62
396 desertification 8 0.00 34.62
397 resilience, psychological 8 0.00 34.62
398 political discourse 8 0.00 34.62
399 infrastructure planning 8 0.00 34.62
400 wellbeing 8 0.00 34.62
401 cost-benefit analysis 8 0.00 34.62
402 ethnicity 8 0.00 34.62
403 rangeland 8 0.00 34.62
404 indian ocean 8 0.00 34.62
405 local adaptation 8 0.00 34.62
406 population growth 8 0.00 34.62
407 population dynamics 8 0.00 34.62
408 sensitivity analysis 8 0.00 34.62
409 economic policy 8 0.00 34.62
410 coping behavior 8 0.00 34.62
411 western cape 8 0.00 34.62
412 immigrant population 8 0.00 34.62
413 research method 8 0.00 34.62
414 marine resource 8 0.00 34.62
415 british columbia 8 0.00 34.62
416 agricultural land 8 0.00 34.62
417 heterogeneity 8 0.00 34.62
418 internal migration 8 0.00 34.62
419 holistic approach 8 0.00 34.62
420 forest management 8 0.00 34.62
421 landscape change 8 0.00 34.62
422 pastoralism 8 0.00 34.62
423 cultural identity 7 0.00 39.57
424 health policy 7 0.00 39.57
425 resettlement policy 7 0.00 39.57
426 humanitarian aid 7 0.00 39.57
427 conflict management 7 0.00 39.57
428 partnership approach 7 0.00 39.57
429 analytical hierarchy process 7 0.00 39.57
430 uganda 7 0.00 39.57
431 cyclonic storms 7 0.00 39.57
432 sichuan 7 0.00 39.57
433 questionnaire 7 0.00 39.57
434 psychological resilience 7 0.00 39.57
435 residence characteristics 7 0.00 39.57
436 health services 7 0.00 39.57
437 grassroots level 7 0.00 39.57
438 major clinical study 7 0.00 39.57
439 hegemony 7 0.00 39.57
440 decision support system 7 0.00 39.57
441 economic analysis 7 0.00 39.57
442 social security 7 0.00 39.57
443 emergency services 7 0.00 39.57
444 public administration 7 0.00 39.57
445 indigenous knowledge 7 0.00 39.57
446 malawi 7 0.00 39.57
447 culture 7 0.00 39.57
448 hazards 7 0.00 39.57
449 information and communication technology 7 0.00 39.57
450 academic research 7 0.00 39.57
451 adaptive capacity 7 0.00 39.57
452 welfare provision 7 0.00 39.57
453 technological development 7 0.00 39.57
454 vulnerable population 7 0.00 39.57
455 social impact assessment 7 0.00 39.57
456 maine 7 0.00 39.57
457 analytical framework 7 0.00 39.57
458 earthquakes 7 0.00 39.57
459 south korea 7 0.00 39.57
460 tsunami 7 0.00 39.57
461 principal component analysis 7 0.00 39.57
462 social conflict 7 0.00 39.57
463 turkey 7 0.00 39.57
464 race 7 0.00 39.57
465 rural policy 7 0.00 39.57
466 health care 7 0.00 39.57
467 agricultural production 7 0.00 39.57
468 multiculturalism 7 0.00 39.57
469 environmental stress 7 0.00 39.57
470 student 7 0.00 39.57
471 gender role 7 0.00 39.57
472 labor market 7 0.00 39.57
473 philosophy 7 0.00 39.57
474 racial identity 7 0.00 39.57
475 design 7 0.00 39.57
476 norway 7 0.00 39.57
477 senegal 7 0.00 39.57
478 performance assessment 7 0.00 39.57
479 attitude 7 0.00 39.57
480 sweden 7 0.00 39.57
481 young population 7 0.00 39.57
482 privatization 7 0.00 39.57
483 research 7 0.00 39.57
484 population decline 7 0.00 39.57
485 accra 7 0.00 39.57
486 financial system 7 0.00 39.57
487 west africa 7 0.00 39.57
488 waste management 7 0.00 39.57
489 city planning 6 0.00 46.17
490 burkina faso 6 0.00 46.17
491 floodplain 6 0.00 46.17
492 lifestyle 6 0.00 46.17
493 weather 6 0.00 46.17
494 west bengal 6 0.00 46.17
495 ownership 6 0.00 46.17
496 safety 6 0.00 46.17
497 security 6 0.00 46.17
498 training 6 0.00 46.17
499 optimization 6 0.00 46.17
500 environmental hazard 6 0.00 46.17
501 recovery plan 6 0.00 46.17
502 critical analysis 6 0.00 46.17
503 greenspace 6 0.00 46.17
504 social aspects 6 0.00 46.17
505 pacific islands 6 0.00 46.17
506 information management 6 0.00 46.17
507 software 6 0.00 46.17
508 cultural change 6 0.00 46.17
509 farmers knowledge 6 0.00 46.17
510 mapping method 6 0.00 46.17
511 south island 6 0.00 46.17
512 fishery production 6 0.00 46.17
513 yangtze river 6 0.00 46.17
514 geographic information systems 6 0.00 46.17
515 disaster resiliences 6 0.00 46.17
516 rural planning 6 0.00 46.17
517 regulatory framework 6 0.00 46.17
518 nonhuman 6 0.00 46.17
519 watershed 6 0.00 46.17
520 periurban area 6 0.00 46.17
521 human development index 6 0.00 46.17
522 tehran [iran] 6 0.00 46.17
523 subsistence 6 0.00 46.17
524 ideology 6 0.00 46.17
525 fuzzy mathematics 6 0.00 46.17
526 community networks 6 0.00 46.17
527 economic activity 6 0.00 46.17
528 implementation process 6 0.00 46.17
529 water quality 6 0.00 46.17
530 qinghai-xizang plateau 6 0.00 46.17
531 greater sunda islands 6 0.00 46.17
532 natural disasters 6 0.00 46.17
533 cultural anthropology 6 0.00 46.17
534 marine policy 6 0.00 46.17
535 prioritization 6 0.00 46.17
536 gentrification 6 0.00 46.17
537 migrant worker 6 0.00 46.17
538 immigration 6 0.00 46.17
539 florida [united states] 6 0.00 46.17
540 tourism economics 6 0.00 46.17
541 planning practice 6 0.00 46.17
542 environmental conditions 6 0.00 46.17
543 solomon islands [(isg) melanesia] 6 0.00 46.17
544 decapoda (crustacea) 6 0.00 46.17
545 unemployment 6 0.00 46.17
546 conservation of natural resources 6 0.00 46.17
547 health status 6 0.00 46.17
548 self organization 6 0.00 46.17
549 policy analysis 6 0.00 46.17
550 small island state 6 0.00 46.17
551 engineering 6 0.00 46.17
552 environmental politics 6 0.00 46.17
553 socioeconomics 6 0.00 46.17
554 market system 6 0.00 46.17
555 ethiopia 6 0.00 46.17
556 social vulnerability 6 0.00 46.17
557 political conflict 6 0.00 46.17
558 national identity 6 0.00 46.17
559 attitudinal survey 6 0.00 46.17
560 denmark 6 0.00 46.17
561 land tenure 6 0.00 46.17
562 geopolitics 6 0.00 46.17
563 artisanal fishery 6 0.00 46.17
564 modernization 6 0.00 46.17
565 sense of place 6 0.00 46.17
566 cultural relations 6 0.00 46.17
567 health care delivery 6 0.00 46.17
568 forced migration 6 0.00 46.17
569 risk reduction 6 0.00 46.17
570 israel 6 0.00 46.17
571 religion 6 0.00 46.17
572 groundwater 6 0.00 46.17
573 adaptation, psychological 6 0.00 46.17
574 planning 6 0.00 46.17
575 migrants remittance 6 0.00 46.17
576 environmental monitoring 6 0.00 46.17
577 project assessment 6 0.00 46.17
578 household 6 0.00 46.17
579 regional economy 6 0.00 46.17
580 greater accra 6 0.00 46.17
581 global climate 6 0.00 46.17
582 content analysis 5 0.00 55.40
583 socioeconomic factors 5 0.00 55.40
584 guideline 5 0.00 55.40
585 environmental legislation 5 0.00 55.40
586 semi structured interview 5 0.00 55.40
587 alternative agriculture 5 0.00 55.40
588 architectural design 5 0.00 55.40
589 international relations 5 0.00 55.40
590 industrialization 5 0.00 55.40
591 vulnerable populations 5 0.00 55.40
592 racial disparity 5 0.00 55.40
593 marine ecosystem 5 0.00 55.40
594 islamism 5 0.00 55.40
595 attention 5 0.00 55.40
596 south america 5 0.00 55.40
597 exploration 5 0.00 55.40
598 investments 5 0.00 55.40
599 abandoned land 5 0.00 55.40
600 peace process 5 0.00 55.40
601 panel data 5 0.00 55.40
602 henan 5 0.00 55.40
603 procedures 5 0.00 55.40
604 social determinants of health 5 0.00 55.40
605 lowest income group 5 0.00 55.40
606 seismicity 5 0.00 55.40
607 political change 5 0.00 55.40
608 nationalism 5 0.00 55.40
609 megacity 5 0.00 55.40
610 cultural geography 5 0.00 55.40
611 land rights 5 0.00 55.40
612 surveys and questionnaires 5 0.00 55.40
613 social exclusion 5 0.00 55.40
614 memory 5 0.00 55.40
615 chongqing 5 0.00 55.40
616 ethnology 5 0.00 55.40
617 development project 5 0.00 55.40
618 border region 5 0.00 55.40
619 social problem 5 0.00 55.40
620 peru 5 0.00 55.40
621 typology 5 0.00 55.40
622 human immunodeficiency virus infection 5 0.00 55.40
623 social capitals 5 0.00 55.40
624 hurricane event 5 0.00 55.40
625 vanuatu 5 0.00 55.40
626 spatial distribution 5 0.00 55.40
627 ecosystem 5 0.00 55.40
628 statistical analysis 5 0.00 55.40
629 oregon 5 0.00 55.40
630 portugal 5 0.00 55.40
631 food industry 5 0.00 55.40
632 post-war 5 0.00 55.40
633 political violence 5 0.00 55.40
634 trade-off 5 0.00 55.40
635 social housing 5 0.00 55.40
636 himalayas 5 0.00 55.40
637 literature reviews 5 0.00 55.40
638 theoretical model 5 0.00 55.40
639 seasonal variation 5 0.00 55.40
640 cooperative behavior 5 0.00 55.40
641 entrepreneur 5 0.00 55.40
642 digitization 5 0.00 55.40
643 world 5 0.00 55.40
644 twentieth century 5 0.00 55.40
645 public sector 5 0.00 55.40
646 caribbean islands 5 0.00 55.40
647 exploitation 5 0.00 55.40
648 guangdong 5 0.00 55.40
649 wetland 5 0.00 55.40
650 household structure 5 0.00 55.40
651 cultural tradition 5 0.00 55.40
652 resident population 5 0.00 55.40
653 dominican republic 5 0.00 55.40
654 mining 5 0.00 55.40
655 drinking water 5 0.00 55.40
656 business 5 0.00 55.40
657 property rights 5 0.00 55.40
658 rotterdam 5 0.00 55.40
659 mapping 5 0.00 55.40
660 ecosystem management 5 0.00 55.40
661 political geography 5 0.00 55.40
662 resource development 5 0.00 55.40
663 language 5 0.00 55.40
664 housing policy 5 0.00 55.40
665 landscape planning 5 0.00 55.40
666 planning theory 5 0.00 55.40
667 urban geography 5 0.00 55.40
668 surveys 5 0.00 55.40
669 meta-analysis 5 0.00 55.40
670 mortality 5 0.00 55.40
671 technology adoption 5 0.00 55.40
672 urban morphology 5 0.00 55.40
673 south holland 5 0.00 55.40
674 ecological impact 5 0.00 55.40
675 climate conditions 5 0.00 55.40
676 chennai 5 0.00 55.40
677 art 5 0.00 55.40
678 modeling 5 0.00 55.40
679 democracy 5 0.00 55.40
680 health impact 5 0.00 55.40
681 simulation 5 0.00 55.40
682 political participation 5 0.00 55.40
683 welfare 5 0.00 55.40
684 ethnic minority 5 0.00 55.40
685 fieldwork 5 0.00 55.40
686 earthquake damage 5 0.00 55.40
687 grazing 5 0.00 55.40
688 tourism market 5 0.00 55.40
689 river basin 5 0.00 55.40
690 african american 5 0.00 55.40
691 educational development 5 0.00 55.40
692 cultural factor 4 0.00 69.25
693 morality 4 0.00 69.25
694 singapore 4 0.00 69.25
695 affordable housing 4 0.00 69.25
696 temporal variation 4 0.00 69.25
697 correlation 4 0.00 69.25
698 capital city 4 0.00 69.25
699 gauteng 4 0.00 69.25
700 jiangsu 4 0.00 69.25
701 tuberculosis 4 0.00 69.25
702 fires 4 0.00 69.25
703 law enforcement 4 0.00 69.25
704 adaptation to climate changes 4 0.00 69.25
705 environment 4 0.00 69.25
706 syrian arab republic 4 0.00 69.25
707 survey 4 0.00 69.25
708 community health services 4 0.00 69.25
709 models, theoretical 4 0.00 69.25
710 ecuador 4 0.00 69.25
711 health care policy 4 0.00 69.25
712 remote sensing 4 0.00 69.25
713 physician 4 0.00 69.25
714 migrants experience 4 0.00 69.25
715 fire management 4 0.00 69.25
716 territorial management 4 0.00 69.25
717 scotland 4 0.00 69.25
718 urban sprawl 4 0.00 69.25
719 urban ecosystem 4 0.00 69.25
720 shanghai 4 0.00 69.25
721 cyclone 4 0.00 69.25
722 statistics 4 0.00 69.25
723 iraq 4 0.00 69.25
724 guatemala [central america] 4 0.00 69.25
725 international cooperation 4 0.00 69.25
726 patient attitude 4 0.00 69.25
727 commerce 4 0.00 69.25
728 return migration 4 0.00 69.25
729 displacement 4 0.00 69.25
730 territory 4 0.00 69.25
731 class 4 0.00 69.25
732 action plan 4 0.00 69.25
733 biophysics 4 0.00 69.25
734 sexual behavior 4 0.00 69.25
735 monitoring 4 0.00 69.25
736 coronavirus disease 2019 4 0.00 69.25
737 developing country 4 0.00 69.25
738 social-ecological systems 4 0.00 69.25
739 flash flood 4 0.00 69.25
740 diaspora 4 0.00 69.25
741 model test 4 0.00 69.25
742 catchment 4 0.00 69.25
743 scale effect 4 0.00 69.25
744 social environment 4 0.00 69.25
745 policy 4 0.00 69.25
746 rio de janeiro [brazil] 4 0.00 69.25
747 commercial phenomena 4 0.00 69.25
748 construction 4 0.00 69.25
749 kerala 4 0.00 69.25
750 political integration 4 0.00 69.25
751 competitiveness 4 0.00 69.25
752 terrorism 4 0.00 69.25
753 aceh 4 0.00 69.25
754 dominica 4 0.00 69.25
755 global perspective 4 0.00 69.25
756 regional planning 4 0.00 69.25
757 gandaki 4 0.00 69.25
758 gorkha 4 0.00 69.25
759 agricultural management 4 0.00 69.25
760 fiji 4 0.00 69.25
761 coastal development 4 0.00 69.25
762 transformation 4 0.00 69.25
763 stock assessment 4 0.00 69.25
764 interpersonal communication 4 0.00 69.25
765 decision theory 4 0.00 69.25
766 dam 4 0.00 69.25
767 narrative 4 0.00 69.25
768 emergency management 4 0.00 69.25
769 information overloads 4 0.00 69.25
770 seoul [south korea] 4 0.00 69.25
771 coastal fishery 4 0.00 69.25
772 structural change 4 0.00 69.25
773 social class 4 0.00 69.25
774 chronic disease 4 0.00 69.25
775 migration determinant 4 0.00 69.25
776 cultural influence 4 0.00 69.25
777 income distribution 4 0.00 69.25
778 financial management 4 0.00 69.25
779 wildfire 4 0.00 69.25
780 pregnancy 4 0.00 69.25
781 nation state 4 0.00 69.25
782 institutional development 4 0.00 69.25
783 nature conservation 4 0.00 69.25
784 mangrove 4 0.00 69.25
785 mobile phone 4 0.00 69.25
786 environmental impact assessment 4 0.00 69.25
787 bos 4 0.00 69.25
788 social construction 4 0.00 69.25
789 demographic trend 4 0.00 69.25
790 gorkha earthquake 2015 4 0.00 69.25
791 new york [new york (stt)] 4 0.00 69.25
792 delphi analysis 4 0.00 69.25
793 bougainville 4 0.00 69.25
794 north carolina 4 0.00 69.25
795 reciprocity 4 0.00 69.25
796 common fisheries policy 4 0.00 69.25
797 relief work 4 0.00 69.25
798 drainage network 4 0.00 69.25
799 environmental economics 4 0.00 69.25
800 algorithm 4 0.00 69.25
801 public policy 4 0.00 69.25
802 residential location 4 0.00 69.25
803 retailing 4 0.00 69.25
804 policy reform 4 0.00 69.25
805 social mobility 4 0.00 69.25
806 risk analysis 4 0.00 69.25
807 early warning system 4 0.00 69.25
808 probability 4 0.00 69.25
809 altruism 4 0.00 69.25
810 london [england] 4 0.00 69.25
811 central region [thailand] 4 0.00 69.25
812 taipei 4 0.00 69.25
813 planning method 4 0.00 69.25
814 new england 4 0.00 69.25
815 consumption behavior 4 0.00 69.25
816 uttarakhand 4 0.00 69.25
817 capital 4 0.00 69.25
818 myanmar 4 0.00 69.25
819 disease spread 4 0.00 69.25
820 urban climate 4 0.00 69.25
821 asian immigrant 4 0.00 69.25
822 coronavirus 4 0.00 69.25
823 cape town 4 0.00 69.25
824 rural areas 4 0.00 69.25
825 resilience assessment 4 0.00 69.25
826 occupation 4 0.00 69.25
827 aid policy 4 0.00 69.25
828 market conditions 4 0.00 69.25
829 seafood 4 0.00 69.25
830 regeneration 4 0.00 69.25
831 project management 4 0.00 69.25
832 policy development 4 0.00 69.25
833 built environment 4 0.00 69.25
834 iceland 4 0.00 69.25
835 information 4 0.00 69.25
836 digital divide 4 0.00 69.25
837 territoriality 4 0.00 69.25
838 tehran 4 0.00 69.25
839 emigration 4 0.00 69.25
840 city 4 0.00 69.25
841 cities 4 0.00 69.25
842 cultural diversity 4 0.00 69.25
843 atlantic islands 4 0.00 69.25
844 gender disparity 4 0.00 69.25
845 social organization 4 0.00 69.25
846 temporal evolution 4 0.00 69.25
847 ethnic group 4 0.00 69.25
848 switzerland 4 0.00 69.25
849 living standard 4 0.00 69.25
850 capitalism 4 0.00 69.25
851 agricultural economics 4 0.00 69.25
852 top-down approach 4 0.00 69.25
853 rice 4 0.00 69.25
854 incentive 4 0.00 69.25
855 recovery 4 0.00 69.25
856 sovereignty 4 0.00 69.25
857 asylum seeker 4 0.00 69.25
858 teaching 4 0.00 69.25
859 western australia 3 0.00 92.33
860 emergency 3 0.00 92.33
861 rural landscape 3 0.00 92.33
862 counseling 3 0.00 92.33
863 coffee 3 0.00 92.33
864 economic geography 3 0.00 92.33
865 war 3 0.00 92.33
866 miyagi 3 0.00 92.33
867 statistics and numerical data 3 0.00 92.33
868 mississippi 3 0.00 92.33
869 information systems 3 0.00 92.33
870 agricultural technology 3 0.00 92.33
871 peacekeeping 3 0.00 92.33
872 adaptive systems 3 0.00 92.33
873 leisure industry 3 0.00 92.33
874 government relations 3 0.00 92.33
875 limpopo 3 0.00 92.33
876 education policy 3 0.00 92.33
877 tehran [tehran (prv)] 3 0.00 92.33
878 lowland environment 3 0.00 92.33
879 twenty first century 3 0.00 92.33
880 minority group 3 0.00 92.33
881 food consumption 3 0.00 92.33
882 irrigation system 3 0.00 92.33
883 odisha 3 0.00 92.33
884 sundarbans 3 0.00 92.33
885 empathy 3 0.00 92.33
886 archaeological evidence 3 0.00 92.33
887 ontario [canada] 3 0.00 92.33
888 west malaysia 3 0.00 92.33
889 pleistocene 3 0.00 92.33
890 disease severity 3 0.00 92.33
891 agricultural robots 3 0.00 92.33
892 slope stability 3 0.00 92.33
893 south asia 3 0.00 92.33
894 health services accessibility 3 0.00 92.33
895 expert system 3 0.00 92.33
896 dryland farming 3 0.00 92.33
897 participatory rural appraisal 3 0.00 92.33
898 behavioral response 3 0.00 92.33
899 anthropology, cultural 3 0.00 92.33
900 political power 3 0.00 92.33
901 gulf coast [united states] 3 0.00 92.33
902 research and development 3 0.00 92.33
903 global warming 3 0.00 92.33
904 urban history 3 0.00 92.33
905 political process 3 0.00 92.33
906 ecological approach 3 0.00 92.33
907 mountain environment 3 0.00 92.33
908 political system 3 0.00 92.33
909 recreational facility 3 0.00 92.33
910 geography education 3 0.00 92.33
911 settlement planning 3 0.00 92.33
912 diseases 3 0.00 92.33
913 fragmentation 3 0.00 92.33
914 energy 3 0.00 92.33
915 fertility 3 0.00 92.33
916 classification 3 0.00 92.33
917 environmental sustainability 3 0.00 92.33
918 measurement method 3 0.00 92.33
919 social psychology 3 0.00 92.33
920 legislation 3 0.00 92.33
921 bangkok 3 0.00 92.33
922 krung thep mahanakhon 3 0.00 92.33
923 civil defense 3 0.00 92.33
924 cultivation 3 0.00 92.33
925 texas 3 0.00 92.33
926 namibia 3 0.00 92.33
927 cultural landscape 3 0.00 92.33
928 urban floods 3 0.00 92.33
929 climate 3 0.00 92.33
930 multivariate analysis 3 0.00 92.33
931 agricultural extension 3 0.00 92.33
932 behavioral research 3 0.00 92.33
933 telemedicine 3 0.00 92.33
934 information processing 3 0.00 92.33
935 community 3 0.00 92.33
936 working conditions 3 0.00 92.33
937 workplace 3 0.00 92.33
938 corporate social responsibility 3 0.00 92.33
939 employment generation 3 0.00 92.33
940 banking 3 0.00 92.33
941 czech republic 3 0.00 92.33
942 multivariant analysis 3 0.00 92.33
943 storm 3 0.00 92.33
944 structural adjustment 3 0.00 92.33
945 yellow river basin 3 0.00 92.33
946 civil engineering 3 0.00 92.33
947 zhengzhou 3 0.00 92.33
948 rain 3 0.00 92.33
949 economic instability 3 0.00 92.33
950 life cycle 3 0.00 92.33
951 trawling 3 0.00 92.33
952 hainan 3 0.00 92.33
953 sociology 3 0.00 92.33
954 satellite imagery 3 0.00 92.33
955 recreational activity 3 0.00 92.33
956 coastal protection 3 0.00 92.33
957 cork [county cork] 3 0.00 92.33
958 typhoon 3 0.00 92.33
959 laos 3 0.00 92.33
960 mexico city 3 0.00 92.33
961 bolivia 3 0.00 92.33
962 munster [ireland] 3 0.00 92.33
963 urban system 3 0.00 92.33
964 prediction 3 0.00 92.33
965 nineteenth century 3 0.00 92.33
966 johannesburg 3 0.00 92.33
967 belgium 3 0.00 92.33
968 territorial planning 3 0.00 92.33
969 planning system 3 0.00 92.33
970 supply chain management 3 0.00 92.33
971 social inclusion 3 0.00 92.33
972 management 3 0.00 92.33
973 sampling 3 0.00 92.33
974 obesity 3 0.00 92.33
975 computer simulation 3 0.00 92.33
976 lobster fishery 3 0.00 92.33
977 internet 3 0.00 92.33
978 crowdsourcing 3 0.00 92.33
979 county cork 3 0.00 92.33
980 animalia 3 0.00 92.33
981 demand analysis 3 0.00 92.33
982 voluntary approach 3 0.00 92.33
983 informal sector 3 0.00 92.33
984 mekong basin 3 0.00 92.33
985 alps 3 0.00 92.33
986 skill 3 0.00 92.33
987 homelessness 3 0.00 92.33
988 agricultural practice 3 0.00 92.33
989 tamil nadu 3 0.00 92.33
990 migrant 3 0.00 92.33
991 economic regeneration 3 0.00 92.33
992 productivity 3 0.00 92.33
993 estonia 3 0.00 92.33
994 latvia 3 0.00 92.33
995 lithuania 3 0.00 92.33
996 landforms 3 0.00 92.33
997 oslo [oslo (cnt)] 3 0.00 92.33
998 social segregation 3 0.00 92.33
999 arcgis 3 0.00 92.33
1000 autonomy 3 0.00 92.33
1001 oslo [norway] 3 0.00 92.33
1002 transportation infrastructure 3 0.00 92.33
1003 development aid 3 0.00 92.33
1004 leinster 3 0.00 92.33
1005 medellin 3 0.00 92.33
1006 antioquia [colombia] 3 0.00 92.33
1007 australasia 3 0.00 92.33
1008 least squares method 3 0.00 92.33
1009 aquaculture industry 3 0.00 92.33
1010 international aid 3 0.00 92.33
1011 aid flow 3 0.00 92.33
1012 growth 3 0.00 92.33
1013 south australia 3 0.00 92.33
1014 kinki 3 0.00 92.33
1015 mozambique 3 0.00 92.33
1016 parameterization 3 0.00 92.33
1017 tourist behavior 3 0.00 92.33
1018 west java 3 0.00 92.33
1019 slovakia 3 0.00 92.33
1020 post-colonialism 3 0.00 92.33
1021 great barrier reef marine park 3 0.00 92.33
1022 guyana 3 0.00 92.33
1023 cooperation 3 0.00 92.33
1024 housing conditions 3 0.00 92.33
1025 drainage 3 0.00 92.33
1026 industrial ecology 3 0.00 92.33
1027 tohoku 3 0.00 92.33
1028 michigan 3 0.00 92.33
1029 life cycle analysis 3 0.00 92.33
1030 varanidae 3 0.00 92.33
1031 action research 3 0.00 92.33
1032 child development 3 0.00 92.33
1033 finance 3 0.00 92.33
1034 saudi arabia 3 0.00 92.33
1035 political theory 3 0.00 92.33
1036 labor supply 3 0.00 92.33
1037 human geography 3 0.00 92.33
1038 carbon sequestration 3 0.00 92.33
1039 participation 3 0.00 92.33
1040 gross domestic product 3 0.00 92.33
1041 java 3 0.00 92.33
1042 regulatory approach 3 0.00 92.33
1043 reliability 3 0.00 92.33
1044 social interaction 3 0.00 92.33
1045 semi structured interviews 3 0.00 92.33
1046 water use 3 0.00 92.33
1047 hierarchical system 3 0.00 92.33
1048 energy resource 3 0.00 92.33
1049 awareness 3 0.00 92.33
1050 identification method 3 0.00 92.33
1051 cross-sectional study 3 0.00 92.33
1052 psychological well-being 3 0.00 92.33
1053 hypothesis testing 3 0.00 92.33
1054 national capital region 3 0.00 92.33
1055 heritage tourism 3 0.00 92.33
1056 agricultural change 3 0.00 92.33
1057 farms 3 0.00 92.33
1058 sanitation 3 0.00 92.33
1059 morbidity 3 0.00 92.33
1060 sahel [sub-saharan africa] 3 0.00 92.33
1061 animals 3 0.00 92.33
1062 authoritarianism 3 0.00 92.33
1063 ukraine 3 0.00 92.33
1064 river 3 0.00 92.33
1065 animal 3 0.00 92.33
1066 livestock farming 3 0.00 92.33
1067 great barrier reef 3 0.00 92.33
1068 coral sea 3 0.00 92.33
1069 yangtze delta 3 0.00 92.33
1070 landownership 3 0.00 92.33
1071 development level 3 0.00 92.33
1072 ecosystem services 3 0.00 92.33
1073 economic reform 3 0.00 92.33
1074 party politics 3 0.00 92.33
1075 greenhouse gas 3 0.00 92.33
1076 world bank 3 0.00 92.33
1077 information system 3 0.00 92.33
1078 organizational culture 3 0.00 92.33
1079 alaska 3 0.00 92.33
1080 water availability 3 0.00 92.33
1081 fruit 3 0.00 92.33
1082 puerto rico 3 0.00 92.33
1083 sumatra 3 0.00 92.33
1084 arid region 3 0.00 92.33
1085 populism 3 0.00 92.33
1086 health service 3 0.00 92.33
1087 peer group 3 0.00 92.33
1088 socio-economics 3 0.00 92.33
1089 urban agglomerations 3 0.00 92.33
1090 political ideology 3 0.00 92.33
1091 patient acceptance of health care 3 0.00 92.33
1092 transportation planning 3 0.00 92.33
1093 solomon islands [solomon islands (isg)] 3 0.00 92.33
1094 community participation 3 0.00 92.33
1095 colonial legacy 3 0.00 92.33
1096 disturbance 3 0.00 92.33
1097 intergovernmental panel on climate change 3 0.00 92.33
1098 social systems 3 0.00 92.33
1099 soil carbon 3 0.00 92.33
1100 vegetable 3 0.00 92.33
1101 open space 3 0.00 92.33
1102 wuhan 3 0.00 92.33
1103 hubei 3 0.00 92.33
1104 program development 3 0.00 92.33
1105 industrial enterprise 3 0.00 92.33
1106 acquired immune deficiency syndrome 3 0.00 92.33
1107 model 3 0.00 92.33
1108 population density 3 0.00 92.33
1109 yogyakarta 3 0.00 92.33
1110 ergonomics 3 0.00 92.33
1111 nunavut 3 0.00 92.33
1112 expectation 3 0.00 92.33
1113 volcanism 3 0.00 92.33
1114 patagonia 3 0.00 92.33
1115 women’s health 3 0.00 92.33
1116 social impact assessments 3 0.00 92.33
1117 residential development 3 0.00 92.33
1118 east africa 3 0.00 92.33
1119 cultural heritage 3 0.00 92.33
1120 entropy 3 0.00 92.33
1121 survey method 3 0.00 92.33
1122 southern africa 3 0.00 92.33
1123 organizations 3 0.00 92.33
1124 flood disaster 3 0.00 92.33
1125 anthropology 3 0.00 92.33
1126 pacific rim 3 0.00 92.33
1127 agricultural ecosystem 3 0.00 92.33
1128 scientist 3 0.00 92.33
1129 midwest 3 0.00 92.33
1130 commercial activity 3 0.00 92.33
1131 harness 3 0.00 92.33
1132 cuba 3 0.00 92.33
1133 nature reserve 3 0.00 92.33
1134 liberia [west africa] 3 0.00 92.33
1135 landscape 3 0.00 92.33
1136 colonialism 3 0.00 92.33
1137 survival 3 0.00 92.33
1138 agrarian change 3 0.00 92.33
1139 settlement pattern 3 0.00 92.33
1140 trend analysis 3 0.00 92.33
1141 rural politics 3 0.00 92.33
1142 flood frequency 3 0.00 92.33
1143 gansu 3 0.00 92.33
1144 walking 2 0.00 138.50
1145 photography 2 0.00 138.50
1146 spatial data 2 0.00 138.50
1147 rhizophoraceae 2 0.00 138.50
1148 identity 2 0.00 138.50
1149 emigration and immigration 2 0.00 138.50
1150 disease transmission 2 0.00 138.50
1151 herault 2 0.00 138.50
1152 ussr 2 0.00 138.50
1153 econometrics 2 0.00 138.50
1154 community ecology 2 0.00 138.50
1155 adaptive environmental management 2 0.00 138.50
1156 economic recession 2 0.00 138.50
1157 el nino-southern oscillation 2 0.00 138.50
1158 public transport 2 0.00 138.50
1159 resource 2 0.00 138.50
1160 meteorological hazard 2 0.00 138.50
1161 suburban area 2 0.00 138.50
1162 social movement 2 0.00 138.50
1163 rainfed agriculture 2 0.00 138.50
1164 sensory perception 2 0.00 138.50
1165 oil spill 2 0.00 138.50
1166 gulf of mexico 2 0.00 138.50
1167 cultural characteristics 2 0.00 138.50
1168 theobroma cacao 2 0.00 138.50
1169 grassland 2 0.00 138.50
1170 managers 2 0.00 138.50
1171 geographic information 2 0.00 138.50
1172 burundi 2 0.00 138.50
1173 water resources 2 0.00 138.50
1174 pretoria 2 0.00 138.50
1175 indicator indicator 2 0.00 138.50
1176 educational attainment 2 0.00 138.50
1177 differentiation 2 0.00 138.50
1178 degradation 2 0.00 138.50
1179 mexico 2 0.00 138.50
1180 far east 2 0.00 138.50
1181 traffic and transport 2 0.00 138.50
1182 fiscal policy 2 0.00 138.50
1183 construction industry 2 0.00 138.50
1184 time series 2 0.00 138.50
1185 new jersey 2 0.00 138.50
1186 acculturation 2 0.00 138.50
1187 labor standard 2 0.00 138.50
1188 integrated assessment 2 0.00 138.50
1189 rural-urban comparison 2 0.00 138.50
1190 building construction 2 0.00 138.50
1191 uzbekistan 2 0.00 138.50
1192 morocco 2 0.00 138.50
1193 coastal communities 2 0.00 138.50
1194 tenualosa ilisha 2 0.00 138.50
1195 town planning 2 0.00 138.50
1196 engineers 2 0.00 138.50
1197 policy strategy 2 0.00 138.50
1198 living resource 2 0.00 138.50
1199 biosphere 2 0.00 138.50
1200 oaxaca 2 0.00 138.50
1201 bucharest [romania] 2 0.00 138.50
1202 social sciences 2 0.00 138.50
1203 family structure 2 0.00 138.50
1204 hurricane sandy 2012 2 0.00 138.50
1205 cross-sectional studies 2 0.00 138.50
1206 male homosexuality 2 0.00 138.50
1207 somalia 2 0.00 138.50
1208 bibliometrics 2 0.00 138.50
1209 pre-exposure prophylaxis 2 0.00 138.50
1210 growth rate 2 0.00 138.50
1211 urban areas 2 0.00 138.50
1212 environmental effect 2 0.00 138.50
1213 homosexuality, male 2 0.00 138.50
1214 festival 2 0.00 138.50
1215 liberalism 2 0.00 138.50
1216 suburbanization 2 0.00 138.50
1217 commercialization 2 0.00 138.50
1218 hydroelectric power 2 0.00 138.50
1219 lagoon 2 0.00 138.50
1220 well being 2 0.00 138.50
1221 visualization 2 0.00 138.50
1222 dam construction 2 0.00 138.50
1223 hill 2 0.00 138.50
1224 geography 2 0.00 138.50
1225 garden 2 0.00 138.50
1226 meta 2 0.00 138.50
1227 synergism 2 0.00 138.50
1228 peripheral region 2 0.00 138.50
1229 skilled labor 2 0.00 138.50
1230 seashore 2 0.00 138.50
1231 fire 2 0.00 138.50
1232 regional politics 2 0.00 138.50
1233 preference behavior 2 0.00 138.50
1234 marketing 2 0.00 138.50
1235 vaccination 2 0.00 138.50
1236 metropolitana 2 0.00 138.50
1237 ecological systems 2 0.00 138.50
1238 housing management 2 0.00 138.50
1239 disaster victim 2 0.00 138.50
1240 bengaluru 2 0.00 138.50
1241 karnataka 2 0.00 138.50
1242 summer 2 0.00 138.50
1243 army 2 0.00 138.50
1244 phnom penh 2 0.00 138.50
1245 decision makers 2 0.00 138.50
1246 lagos [nigeria] 2 0.00 138.50
1247 environmentalism 2 0.00 138.50
1248 utilization 2 0.00 138.50
1249 health personnel attitude 2 0.00 138.50
1250 nursing student 2 0.00 138.50
1251 public goods 2 0.00 138.50
1252 risk reduction behavior 2 0.00 138.50
1253 attitude of health personnel 2 0.00 138.50
1254 zhujiang delta 2 0.00 138.50
1255 bavaria 2 0.00 138.50
1256 amsterdam [north holland] 2 0.00 138.50
1257 mekong river 2 0.00 138.50
1258 post-communism 2 0.00 138.50
1259 crisis communications 2 0.00 138.50
1260 health emergencies 2 0.00 138.50
1261 sport fishing 2 0.00 138.50
1262 adaptive behavior 2 0.00 138.50
1263 household expenditure 2 0.00 138.50
1264 microfinance 2 0.00 138.50
1265 afghanistan 2 0.00 138.50
1266 common property resource 2 0.00 138.50
1267 social worker 2 0.00 138.50
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1269 community resilience 2 0.00 138.50
1270 community forestry 2 0.00 138.50
1271 fishing effort 2 0.00 138.50
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1274 veracruz 2 0.00 138.50
1275 reliability analysis 2 0.00 138.50
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1277 students 2 0.00 138.50
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1291 ethnic conflict 2 0.00 138.50
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1293 market 2 0.00 138.50
1294 virgin islands 2 0.00 138.50
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1298 north holland 2 0.00 138.50
1299 north rhine-westphalia 2 0.00 138.50
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1301 caucasian 2 0.00 138.50
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1304 hispaniola 2 0.00 138.50
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1308 connectivity 2 0.00 138.50
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1310 argentina 2 0.00 138.50
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1323 liaoning 2 0.00 138.50
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1835 management analysis 1 0.00 277.00
1836 karnali 1 0.00 277.00
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1838 public spending 1 0.00 277.00
1839 estuarine ecosystem 1 0.00 277.00
1840 transitional economy 1 0.00 277.00
1841 social marginalization 1 0.00 277.00
1842 slow variables 1 0.00 277.00
1843 learning and adaptation 1 0.00 277.00
1844 africa, western 1 0.00 277.00
1845 risk governance 1 0.00 277.00
1846 social networking services 1 0.00 277.00
1847 mumbai 1 0.00 277.00
1848 sir model 1 0.00 277.00
1849 construction material 1 0.00 277.00
1850 propagation modeling 1 0.00 277.00
1851 number of active users 1 0.00 277.00
1852 network structures 1 0.00 277.00
1853 layered structures 1 0.00 277.00
1854 friendster 1 0.00 277.00
1855 tin 1 0.00 277.00
1856 shetzu river 1 0.00 277.00
1857 estuarine environment 1 0.00 277.00
1858 leeds [england] 1 0.00 277.00
1859 risk management practices 1 0.00 277.00
1860 risk management program 1 0.00 277.00
1861 risk-informed regulation 1 0.00 277.00
1862 agenda 21 1 0.00 277.00
1863 technological risk 1 0.00 277.00
1864 unccd 1 0.00 277.00
1865 coal mining 1 0.00 277.00
1866 emae island 1 0.00 277.00
1867 christianity 1 0.00 277.00
1868 pacific ocean (southwest) 1 0.00 277.00
1869 capital market 1 0.00 277.00
1870 quantitative risk assessment 1 0.00 277.00
1871 bioindicator 1 0.00 277.00
1872 tarangire national park 1 0.00 277.00
1873 youth 1 0.00 277.00
1874 anticipation 1 0.00 277.00
1875 phosphorus 1 0.00 277.00
1876 statistical tests 1 0.00 277.00
1877 mosquito 1 0.00 277.00
1878 breeding site 1 0.00 277.00
1879 water use efficiency 1 0.00 277.00
1880 chemical analysis 1 0.00 277.00
1881 zoning policy 1 0.00 277.00
1882 soil nutrient 1 0.00 277.00
1883 pollution effect 1 0.00 277.00
1884 legal rights 1 0.00 277.00
1885 northern territory 1 0.00 277.00
1886 anecdotes as topic 1 0.00 277.00
1887 phase transition 1 0.00 277.00
1888 water treatment 1 0.00 277.00
1889 service quality 1 0.00 277.00
1890 literature 1 0.00 277.00
1891 brain drain 1 0.00 277.00
1892 job satisfaction 1 0.00 277.00
1893 integration 1 0.00 277.00
1894 basra 1 0.00 277.00
1895 slum 1 0.00 277.00
1896 stressors 1 0.00 277.00
1897 microbiology 1 0.00 277.00
1898 rhode island 1 0.00 277.00
1899 languedoc-roussillon 1 0.00 277.00
1900 mineral resource 1 0.00 277.00
1901 llyn peninsula 1 0.00 277.00
1902 psychological aspect 1 0.00 277.00
1903 environmental gradient 1 0.00 277.00
1904 field method 1 0.00 277.00
1905 longmenshan fault zone 1 0.00 277.00
1906 deindustrialization 1 0.00 277.00
1907 gujarat earthquake 2001 1 0.00 277.00
1908 kutch 1 0.00 277.00
1909 pinniped 1 0.00 277.00
1910 minas gerais 1 0.00 277.00
1911 uberaba river 1 0.00 277.00
1912 shellfish culture 1 0.00 277.00
1913 streamflow 1 0.00 277.00
1914 separation 1 0.00 277.00
1915 polluter pays principle 1 0.00 277.00
1916 modelling degradation 1 0.00 277.00
1917 quang tri 1 0.00 277.00
1918 hydrological regime 1 0.00 277.00
1919 viability 1 0.00 277.00
1920 water governance 1 0.00 277.00
1921 arusha [tanzania] 1 0.00 277.00
1922 structural segregation 1 0.00 277.00
1923 thua thien hue 1 0.00 277.00
1924 soil erosion 1 0.00 277.00
1925 settlement patterns 1 0.00 277.00
1926 mediating networks 1 0.00 277.00
1927 capital stock 1 0.00 277.00
1928 capital financing 1 0.00 277.00
1929 queenstown [otago] 1 0.00 277.00
1930 disease 1 0.00 277.00
1931 thresholds 1 0.00 277.00
1932 halichoerus grypus 1 0.00 277.00
1933 recreational development 1 0.00 277.00
1934 riparian species 1 0.00 277.00
1935 mining industry 1 0.00 277.00
1936 riparian ecosystem 1 0.00 277.00
1937 health hazard 1 0.00 277.00
1938 eastern carpathians 1 0.00 277.00
1939 environmental erosion 1 0.00 277.00
1940 food ingredient 1 0.00 277.00
1941 biography 1 0.00 277.00
1942 hydraulics 1 0.00 277.00
1943 stratovolcano 1 0.00 277.00
1944 state government 1 0.00 277.00
1945 etang de thau 1 0.00 277.00
1946 paraty bay 1 0.00 277.00
1947 pacific northwest 1 0.00 277.00
1948 plateau 1 0.00 277.00
1949 transition zone 1 0.00 277.00
1950 willamette basin 1 0.00 277.00
1951 lake wanaka 1 0.00 277.00
1952 hydrological response 1 0.00 277.00
1953 new taipei 1 0.00 277.00
1954 follow-up studies 1 0.00 277.00
1955 coexistence 1 0.00 277.00
1956 rocky mountains 1 0.00 277.00
1957 latino people 1 0.00 277.00
1958 negotiation process 1 0.00 277.00
1959 bodo 1 0.00 277.00
1960 temporal trends 1 0.00 277.00
1961 weibo 1 0.00 277.00
1962 temperature 1 0.00 277.00
1963 water level 1 0.00 277.00
1964 assam 1 0.00 277.00
1965 resilience strategy 1 0.00 277.00
1966 nordland 1 0.00 277.00
1967 trade-environment relations 1 0.00 277.00
1968 deregulation 1 0.00 277.00
1969 esthetics 1 0.00 277.00
1970 family conflict 1 0.00 277.00
1971 kuznets curve 1 0.00 277.00
1972 forest 1 0.00 277.00
1973 organizational resilience 1 0.00 277.00
1974 micro-blog 1 0.00 277.00
1975 self organizing maps 1 0.00 277.00
1976 construction enterprise 1 0.00 277.00
1977 residents’ perceptions 1 0.00 277.00
1978 environmental stewardship 1 0.00 277.00
1979 bodily capital 1 0.00 277.00
1980 life experiences 1 0.00 277.00
1981 neighbourhood 1 0.00 277.00
1982 questionnaire surveys 1 0.00 277.00
1983 displacement behavior 1 0.00 277.00
1984 urban green spaces 1 0.00 277.00
1985 conformal mapping 1 0.00 277.00
1986 threat 1 0.00 277.00
1987 hilsa 1 0.00 277.00
1988 clupeoid fishery 1 0.00 277.00
1989 phuket [southern region] 1 0.00 277.00
1990 greater antilles 1 0.00 277.00
1991 man-environment relations 1 0.00 277.00
1992 measuring resilience 1 0.00 277.00
1993 critical component 1 0.00 277.00
1994 price determination 1 0.00 277.00
1995 engineering solutions 1 0.00 277.00
1996 puerperal infection 1 0.00 277.00
1997 polygyny 1 0.00 277.00
1998 polygamy 1 0.00 277.00
1999 physical capacity 1 0.00 277.00
2000 occupational hazard 1 0.00 277.00
2001 cultural backgrounds 1 0.00 277.00
2002 obstetric procedure 1 0.00 277.00
2003 life stress 1 0.00 277.00
2004 obstetric emergency 1 0.00 277.00
2005 research methodologies 1 0.00 277.00
2006 urban environments 1 0.00 277.00
2007 manual labor 1 0.00 277.00
2008 yilan [taiwan] 1 0.00 277.00
2009 maternal morbidity 1 0.00 277.00
2010 eastern hemisphere 1 0.00 277.00
2011 phenomenology 1 0.00 277.00
2012 industrial policies 1 0.00 277.00
2013 single woman 1 0.00 277.00
2014 logistic regression analysis 1 0.00 277.00
2015 perceived benefits 1 0.00 277.00
2016 perceived risk 1 0.00 277.00
2017 residential building 1 0.00 277.00
2018 willingness to accept 1 0.00 277.00
2019 stillbirth 1 0.00 277.00
2020 cocoa 1 0.00 277.00
2021 life event 1 0.00 277.00
2022 short term survival 1 0.00 277.00
2023 adolescence 1 0.00 277.00
2024 adulthood 1 0.00 277.00
2025 health crisis 1 0.00 277.00
2026 grief 1 0.00 277.00
2027 return to work 1 0.00 277.00
2028 moreton bay 1 0.00 277.00
2029 city-dwellers 1 0.00 277.00
2030 ville de paris 1 0.00 277.00
2031 beetle 1 0.00 277.00
2032 integrative framework 1 0.00 277.00
2033 sustainable resilience 1 0.00 277.00
2034 suriname 1 0.00 277.00
2035 gold mine 1 0.00 277.00
2036 coleoptera 1 0.00 277.00
2037 pinus mugo 1 0.00 277.00
2038 foreign medical graduates 1 0.00 277.00
2039 functional group 1 0.00 277.00
2040 professional practice location 1 0.00 277.00
2041 foreign medical graduate 1 0.00 277.00
2042 volcanology 1 0.00 277.00
2043 life change events 1 0.00 277.00
2044 professional practice 1 0.00 277.00
2045 longitudinal studies 1 0.00 277.00
2046 alignment 1 0.00 277.00
2047 land reclamation 1 0.00 277.00
2048 paris 1 0.00 277.00
2049 aquaculture production 1 0.00 277.00
2050 pisces 1 0.00 277.00
2051 maps as topic 1 0.00 277.00
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2053 new york 1 0.00 277.00
2054 subsistence agriculture 1 0.00 277.00
2055 ostreidae 1 0.00 277.00
2056 carrying capacity 1 0.00 277.00
2057 la habana [cuba] 1 0.00 277.00
2058 el nino 1 0.00 277.00
2059 perturbation 1 0.00 277.00
2060 southern hemisphere 1 0.00 277.00
2061 baden-wurttemberg 1 0.00 277.00
2062 havana 1 0.00 277.00
2063 heidelberg 1 0.00 277.00
2064 scandinavia 1 0.00 277.00
2065 demographic survey 1 0.00 277.00
2066 urban pollution 1 0.00 277.00
2067 seyhan basin 1 0.00 277.00
2068 welfare reform 1 0.00 277.00
2069 suicide 1 0.00 277.00
2070 womens health 1 0.00 277.00
2071 brewing industry 1 0.00 277.00
2072 temperature effect 1 0.00 277.00
2073 animal husbandry 1 0.00 277.00
2074 mwanza [mwanza (rga)] 1 0.00 277.00
2075 goseong 1 0.00 277.00
2076 mwanza [tanzania] 1 0.00 277.00
2077 armed forces 1 0.00 277.00
2078 military government 1 0.00 277.00
2079 murray-darling basin 1 0.00 277.00
2080 torres strait 1 0.00 277.00
2081 ile de france 1 0.00 277.00
2082 industrial practice 1 0.00 277.00
2083 nursing education 1 0.00 277.00
2084 liberia 1 0.00 277.00
2085 friend 1 0.00 277.00
2086 students, nursing 1 0.00 277.00
2087 protein intake 1 0.00 277.00
2088 education, nursing, baccalaureate 1 0.00 277.00
2089 townsville 1 0.00 277.00
2090 biological invasion 1 0.00 277.00
2091 study design 1 0.00 277.00
2092 exploratory research 1 0.00 277.00
2093 land market 1 0.00 277.00
2094 agrometeorology 1 0.00 277.00
2095 south kyongsang 1 0.00 277.00
2096 paju 1 0.00 277.00
2097 kyonggi 1 0.00 277.00
2098 northern europe 1 0.00 277.00
2099 social aspects and related phenomena 1 0.00 277.00
2100 strength 1 0.00 277.00
2101 landscape protection 1 0.00 277.00
2102 dangerous goods 1 0.00 277.00
2103 sanction 1 0.00 277.00
2104 water technology 1 0.00 277.00
2105 ladakh himalayas 1 0.00 277.00
2106 computer interaction 1 0.00 277.00
2107 crisis events 1 0.00 277.00
2108 crisis informatics 1 0.00 277.00
2109 terrorist attacks 1 0.00 277.00
2110 normal human 1 0.00 277.00
2111 susquehanna river 1 0.00 277.00
2112 cairns 1 0.00 277.00
2113 family farm 1 0.00 277.00
2114 repair 1 0.00 277.00
2115 kathetostoma giganteum 1 0.00 277.00
2116 whitsunday island 1 0.00 277.00
2117 westernization 1 0.00 277.00
2118 agroforestry 1 0.00 277.00
2119 health status disparities 1 0.00 277.00
2120 minnesota 1 0.00 277.00
2121 hydroaysen project 1 0.00 277.00
2122 impact 1 0.00 277.00
2123 social risks 1 0.00 277.00
2124 buffel grass 1 0.00 277.00
2125 vulnerable groups 1 0.00 277.00
2126 anthropology, medical 1 0.00 277.00
2127 labor relations 1 0.00 277.00
2128 isiolo 1 0.00 277.00
2129 uncertainty role 1 0.00 277.00
2130 correlation analysis 1 0.00 277.00
2131 garden city 1 0.00 277.00
2132 aora 1 0.00 277.00
2133 invasive species 1 0.00 277.00
2134 lobbying 1 0.00 277.00
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2136 paddy field 1 0.00 277.00
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2138 bagmati 1 0.00 277.00
2139 codes 1 0.00 277.00
2140 biological system modeling 1 0.00 277.00
2141 computational model 1 0.00 277.00
2142 building codes 1 0.00 277.00
2143 political organization 1 0.00 277.00
2144 biological systems 1 0.00 277.00
2145 kathmandu 1 0.00 277.00
2146 bayesian knowledge basis 1 0.00 277.00
2147 croatia 1 0.00 277.00
2148 aid organization 1 0.00 277.00
2149 cross-border relations 1 0.00 277.00
2150 canidae 1 0.00 277.00
2151 port au prince 1 0.00 277.00
2152 agri-environmental policy 1 0.00 277.00
2153 development 1 0.00 277.00
2154 stresses 1 0.00 277.00
2155 health services needs and demand 1 0.00 277.00
2156 software enhancements 1 0.00 277.00
2157 county level 1 0.00 277.00
2158 seismic anisotropy 1 0.00 277.00
2159 social stability 1 0.00 277.00
2160 enhancement factor 1 0.00 277.00
2161 online surveys 1 0.00 277.00
2162 situational awareness 1 0.00 277.00
2163 software innovations 1 0.00 277.00
2164 endemism 1 0.00 277.00
2165 analytical models 1 0.00 277.00
2166 computation theory 1 0.00 277.00
2167 functions 1 0.00 277.00
2168 political stability 1 0.00 277.00
2169 mathematical models 1 0.00 277.00
2170 national security 1 0.00 277.00
2171 environmental risks 1 0.00 277.00
2172 cenchrus ciliaris 1 0.00 277.00
2173 karakoram 1 0.00 277.00
2174 economic planning 1 0.00 277.00
2175 maternal mortality 1 0.00 277.00
2176 maternal hypertension 1 0.00 277.00
2177 married woman 1 0.00 277.00
2178 resident 1 0.00 277.00
2179 catalonia 1 0.00 277.00
2180 road construction 1 0.00 277.00
2181 gerona [catalonia] 1 0.00 277.00
2182 coastal resources 1 0.00 277.00
2183 khayelitsha 1 0.00 277.00
2184 disease treatment 1 0.00 277.00
2185 alcohol consumption 1 0.00 277.00
2186 attitude to illness 1 0.00 277.00
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2190 coral bleaching 1 0.00 277.00
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2192 hebei 1 0.00 277.00
2193 natural capital 1 0.00 277.00
2194 wage gap 1 0.00 277.00
2195 savings 1 0.00 277.00
2196 boyer ahmadi va kohkiluyeh 1 0.00 277.00
2197 yasuj 1 0.00 277.00
2198 fujian 1 0.00 277.00
2199 medical anthropology 1 0.00 277.00
2200 disaster victims 1 0.00 277.00
2201 mangrove forest 1 0.00 277.00
2202 nonbiological model 1 0.00 277.00
2203 maternal welfare 1 0.00 277.00
2204 women 1 0.00 277.00
2205 indian ocean (west) 1 0.00 277.00
2206 nonlinearity 1 0.00 277.00
2207 help seeking behavior 1 0.00 277.00
2208 medical decision making 1 0.00 277.00
2209 field work 1 0.00 277.00
2210 plymouth [england] 1 0.00 277.00
2211 interpersonal relations 1 0.00 277.00
2212 montserrat 1 0.00 277.00
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2214 life satisfaction 1 0.00 277.00
2215 linear regression analysis 1 0.00 277.00
2216 safety engineering 1 0.00 277.00
2217 democratic systems 1 0.00 277.00
2218 tuberculosis control 1 0.00 277.00
2219 dialogue 1 0.00 277.00
2220 format comparison 1 0.00 277.00
2221 interactive communications 1 0.00 277.00
2222 participatory projects 1 0.00 277.00
2223 wyoming 1 0.00 277.00
2224 monterey bay 1 0.00 277.00
2225 aral sea 1 0.00 277.00
2226 abortion 1 0.00 277.00
2227 adverse outcome 1 0.00 277.00
2228 informal settlements 1 0.00 277.00
2229 anemia 1 0.00 277.00
2230 onyar river 1 0.00 277.00
2231 health hazards 1 0.00 277.00
2232 weathering 1 0.00 277.00
2233 agbogbloshie 1 0.00 277.00
2234 gerona [gerona (prv)] 1 0.00 277.00
2235 township and village enterprise 1 0.00 277.00
2236 bleeding 1 0.00 277.00
2237 kunshan 1 0.00 277.00
2238 dongguan 1 0.00 277.00
2239 feedback processes 1 0.00 277.00
2240 eclampsia 1 0.00 277.00
2241 very elderly 1 0.00 277.00
2242 evaluation and analysis 1 0.00 277.00
2243 malaita 1 0.00 277.00
2244 agronomy 1 0.00 277.00
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2246 international tourism 1 0.00 277.00
2247 variance analysis 1 0.00 277.00
2248 transformational 1 0.00 277.00
2249 eye 1 0.00 277.00
2250 democratic transition 1 0.00 277.00
2251 clustering algorithms 1 0.00 277.00
2252 geographical research 1 0.00 277.00
2253 sichuan earthquake 2008 1 0.00 277.00
2254 bradford [england] 1 0.00 277.00
2255 pacific coast [north america] 1 0.00 277.00
2256 pacific coast [mexico] 1 0.00 277.00
2257 jalisco 1 0.00 277.00
2258 ranking 1 0.00 277.00
2259 communication network 1 0.00 277.00
2260 alberta 1 0.00 277.00
2261 websites 1 0.00 277.00
2262 inactive users 1 0.00 277.00
2263 sustainable world 1 0.00 277.00
2264 preferential attachments 1 0.00 277.00
2265 aquaculture system 1 0.00 277.00
2266 kansas 1 0.00 277.00
2267 time-aware lurker ranking 1 0.00 277.00
2268 responsiveness 1 0.00 277.00
2269 etiology 1 0.00 277.00
2270 la paz [bolivia] 1 0.00 277.00
2271 newcomers 1 0.00 277.00
2272 lurker trends and clustering 1 0.00 277.00
2273 mental stress 1 0.00 277.00
2274 lurking behavior 1 0.00 277.00
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2276 indigenous australian 1 0.00 277.00
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2278 evidence-based practice 1 0.00 277.00
2279 forest cover 1 0.00 277.00
2280 hawaii [united states] 1 0.00 277.00
2281 african continental ancestry group 1 0.00 277.00
2282 altimeter 1 0.00 277.00
2283 rubber 1 0.00 277.00
2284 central america 1 0.00 277.00
2285 eastern visayas 1 0.00 277.00
2286 guinsaugon 1 0.00 277.00
2287 southern leyte 1 0.00 277.00
2288 sagar island 1 0.00 277.00
2289 erosion rate 1 0.00 277.00
2290 labor mobility 1 0.00 277.00
2291 sea surface height 1 0.00 277.00
2292 sea surface temperature 1 0.00 277.00
2293 thermal expansion 1 0.00 277.00
2294 topex-poseidon 1 0.00 277.00
2295 western highlands 1 0.00 277.00
2296 complementarity 1 0.00 277.00
2297 hevea brasiliensis 1 0.00 277.00
2298 luang prabang 1 0.00 277.00
2299 emigrants and immigrants 1 0.00 277.00
2300 dakar [dakar (rga)] 1 0.00 277.00
2301 consumer 1 0.00 277.00
2302 hispanic americans 1 0.00 277.00
2303 power (psychology) 1 0.00 277.00
2304 community living 1 0.00 277.00
2305 hispanic 1 0.00 277.00
2306 great depression 1 0.00 277.00
2307 conceptual frameworks 1 0.00 277.00
2308 adaptive radiation 1 0.00 277.00
2309 health planning 1 0.00 277.00
2310 drought risks 1 0.00 277.00
2311 consumer participation 1 0.00 277.00
2312 monitoring and evaluations 1 0.00 277.00
2313 participatory process 1 0.00 277.00
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2315 census 1 0.00 277.00
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2317 social ties 1 0.00 277.00
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2319 asthma 1 0.00 277.00
2320 citizen infrastructure 1 0.00 277.00
2321 millenium development goal 1 0.00 277.00
2322 cold 1 0.00 277.00
2323 yolo county 1 0.00 277.00
2324 construction work 1 0.00 277.00
2325 anura 1 0.00 277.00
2326 electricity 1 0.00 277.00
2327 milling 1 0.00 277.00
2328 farm size 1 0.00 277.00
2329 sewage treatment 1 0.00 277.00
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2332 mobile communication 1 0.00 277.00
2333 huila [angola] 1 0.00 277.00
2334 air pollution 1 0.00 277.00
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2336 genetics 1 0.00 277.00
2337 exposure data 1 0.00 277.00
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2340 human activities 1 0.00 277.00
2341 quality control 1 0.00 277.00
2342 recreational park 1 0.00 277.00
2343 socialization 1 0.00 277.00
2344 facility design and construction 1 0.00 277.00
2345 genetic epigenesis 1 0.00 277.00
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2351 embankments 1 0.00 277.00
2352 angola 1 0.00 277.00
2353 san joaquin county 1 0.00 277.00
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2373 decisive actions 1 0.00 277.00
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2385 ecological footprint 1 0.00 277.00
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2387 trans-boundary risks 1 0.00 277.00
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2391 monkey river 1 0.00 277.00
2392 aerial photography 1 0.00 277.00
2393 design technologies 1 0.00 277.00
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2395 santa fe [argentina] 1 0.00 277.00
2396 self help 1 0.00 277.00
2397 experience 1 0.00 277.00
2398 mafia island 1 0.00 277.00
2399 southern aegean 1 0.00 277.00
2400 mafia island marine park 1 0.00 277.00
2401 empiricism 1 0.00 277.00
2402 northern aegean 1 0.00 277.00
2403 nisyros 1 0.00 277.00
2404 alarm monitoring 1 0.00 277.00
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2406 kos 1 0.00 277.00
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2422 infrastructure design 1 0.00 277.00
2423 professional development 1 0.00 277.00
2424 special education 1 0.00 277.00
2425 taichung 1 0.00 277.00
2426 dodecanese 1 0.00 277.00
2427 childbearing 1 0.00 277.00
2428 hydroelectric power plant 1 0.00 277.00
2429 sustainable livelihood 1 0.00 277.00
2430 natural resources 1 0.00 277.00
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3604 mediterranean coast [france] 1 0.00 277.00
3605 chenopodium quinoa 1 0.00 277.00
3606 urban regions 1 0.00 277.00
3607 mountain stream 1 0.00 277.00
3608 electricity generation 1 0.00 277.00
3609 system analysis 1 0.00 277.00
3610 little ice age 1 0.00 277.00
3611 capital flow 1 0.00 277.00
3612 efficiency measurement 1 0.00 277.00
3613 financial services 1 0.00 277.00
3614 lilium 1 0.00 277.00
3615 benalmadena 1 0.00 277.00
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3618 bayesian approaches 1 0.00 277.00
3619 casualty 1 0.00 277.00
3620 fragility 1 0.00 277.00
3621 zero-inflated models 1 0.00 277.00
3622 bayesian analysis 1 0.00 277.00
3623 granger causality test 1 0.00 277.00
3624 spatial patterns 1 0.00 277.00
3625 spatial autocorrelation analysis 1 0.00 277.00
3626 northeastern taiwan 1 0.00 277.00
3627 infrastructure resources 1 0.00 277.00
3628 makkah [saudi arabia] 1 0.00 277.00
3629 dunedin 1 0.00 277.00
3630 precision 1 0.00 277.00
3631 agricultural intensification 1 0.00 277.00
3632 large dataset 1 0.00 277.00
3633 amplification effects 1 0.00 277.00
3634 event types 1 0.00 277.00
3635 face to face 1 0.00 277.00
3636 large-scale dataset 1 0.00 277.00
3637 live streaming 1 0.00 277.00
3638 super bowl 1 0.00 277.00
3639 media streaming 1 0.00 277.00
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3641 emergency response laws 1 0.00 277.00
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3646 costa del sol 1 0.00 277.00
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3649 addis ababa 1 0.00 277.00
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3651 information services 1 0.00 277.00
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3653 medical conditions 1 0.00 277.00
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3655 online support 1 0.00 277.00
3656 perceived affordances 1 0.00 277.00
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3659 guanzhong plain 1 0.00 277.00
3660 urban atmosphere 1 0.00 277.00
3661 equus asinus 1 0.00 277.00
3662 park design 1 0.00 277.00
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3664 illinois 1 0.00 277.00
3665 environmental restoration 1 0.00 277.00
3666 restoration ecology 1 0.00 277.00
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3668 stakeholder engagement 1 0.00 277.00
3669 freshwater environment 1 0.00 277.00
3670 evapotranspiration 1 0.00 277.00
3671 guangxi zhuangzu 1 0.00 277.00
3672 huanjiang 1 0.00 277.00
3673 rapid rural appraisal 1 0.00 277.00
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3675 stochastic systems 1 0.00 277.00
3676 connected structures 1 0.00 277.00
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3679 network collapse 1 0.00 277.00
3680 stochastic dominance 1 0.00 277.00
3681 castilla y leon 1 0.00 277.00
3682 leon [castilla y leon] 1 0.00 277.00
3683 tropical cyclone event 1 0.00 277.00
3684 mississippi river 1 0.00 277.00
3685 aquifer 1 0.00 277.00
3686 biotic stress 1 0.00 277.00
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3697 topsis method 1 0.00 277.00
3698 development patterns 1 0.00 277.00
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3700 land managements 1 0.00 277.00
3701 common pool resources 1 0.00 277.00
3702 policy reforms 1 0.00 277.00
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3704 family size 1 0.00 277.00
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3711 hci4d 1 0.00 277.00
3712 digital payments 1 0.00 277.00
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3722 intergovernmental relations 1 0.00 277.00
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3726 heat flux 1 0.00 277.00
3727 heat transfer 1 0.00 277.00
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3736 fitness 1 0.00 277.00
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3738 paragominas 1 0.00 277.00
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3740 shifting cultivation 1 0.00 277.00
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3746 remittance effect 1 0.00 277.00
3747 rural migration 1 0.00 277.00
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3749 rafsanjan 1 0.00 277.00
3750 pistacia vera 1 0.00 277.00
3751 herb 1 0.00 277.00
3752 soil fertility 1 0.00 277.00
3753 carbon sink 1 0.00 277.00
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3755 aboveground production 1 0.00 277.00
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3758 user behavior modeling 1 0.00 277.00
3759 quality of service 1 0.00 277.00
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3761 fresh water 1 0.00 277.00
3762 internationality 1 0.00 277.00
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3764 cold war 1 0.00 277.00
3765 social adaptation 1 0.00 277.00
3766 berlin 1 0.00 277.00
3767 kodiak island 1 0.00 277.00
3768 barrier island 1 0.00 277.00
3769 terminology 1 0.00 277.00
3770 batticaloa lagoon 1 0.00 277.00
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3772 avicennia marina 1 0.00 277.00
3773 excoecaria agallocha 1 0.00 277.00
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3776 service levels 1 0.00 277.00
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3778 decision trees 1 0.00 277.00
3779 e-learning 1 0.00 277.00
3780 petroleum reservoir evaluation 1 0.00 277.00
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3785 random forest algorithm 1 0.00 277.00
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3787 genova 1 0.00 277.00
3788 artifact 1 0.00 277.00
3789 san francisco bay 1 0.00 277.00
3790 sanya 1 0.00 277.00
3791 land-sea interaction 1 0.00 277.00
3792 fungi 1 0.00 277.00
3793 fusarium oxysporum f. cubense 1 0.00 277.00
3794 musa acuminata 1 0.00 277.00
3795 biological control 1 0.00 277.00
3796 sex factor 1 0.00 277.00
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3799 wrist pain 1 0.00 277.00
3800 occupational diseases 1 0.00 277.00
3801 occupations 1 0.00 277.00
3802 reproducibility of results 1 0.00 277.00
3803 sex factors 1 0.00 277.00
3804 syria 1 0.00 277.00
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3806 child labor 1 0.00 277.00
3807 gender differences 1 0.00 277.00
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3809 sex/gender 1 0.00 277.00
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3822 decision support tools 1 0.00 277.00
3823 local strategies 1 0.00 277.00
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3825 spatial decision support 1 0.00 277.00
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3840 remission 1 0.00 277.00
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3848 honiara 1 0.00 277.00
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3850 nanjing [jiangsu] 1 0.00 277.00
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3854 trinidad and tobago 1 0.00 277.00
3855 hampton 1 0.00 277.00
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3867 benin 1 0.00 277.00
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3874 norrbotten 1 0.00 277.00
3875 black sea 1 0.00 277.00
3876 danube delta 1 0.00 277.00
3877 kangaroo island 1 0.00 277.00
3878 macropodidae 1 0.00 277.00
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3898 toxic substance 1 0.00 277.00
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3925 problem solving 1 0.00 277.00
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3927 lima [lima (dpr)] 1 0.00 277.00
3928 sofala 1 0.00 277.00
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3931 talavera de la reina 1 0.00 277.00
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3938 north tyneside 1 0.00 277.00
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3943 santa luzia [beja] 1 0.00 277.00
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3989 ism 1 0.00 277.00
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3991 flash-floods 1 0.00 277.00
3992 trace elements 1 0.00 277.00
3993 hospitality industry 1 0.00 277.00
3994 bogor 1 0.00 277.00
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3997 triangulation 1 0.00 277.00
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4000 jamestown 1 0.00 277.00
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4008 groundwater pollution 1 0.00 277.00
4009 hardness 1 0.00 277.00
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4032 chubu 1 0.00 277.00
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4046 long island [new york] 1 0.00 277.00
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4192 safety net health care 1 0.00 277.00
4193 virus transmission 1 0.00 277.00
4194 internet access 1 0.00 277.00
4195 me-xico 1 0.00 277.00
4196 poverty reduction 1 0.00 277.00
4197 propensity score matching 1 0.00 277.00
4198 rural and urban 1 0.00 277.00
4199 durban 1 0.00 277.00
4200 kwazulu-natal 1 0.00 277.00
4201 central business district 1 0.00 277.00
4202 disabled person 1 0.00 277.00
4203 service industry 1 0.00 277.00
4204 economic diversity 1 0.00 277.00
4205 western hemisphere 1 0.00 277.00
library(openxlsx) 
write.xlsx(df.word_count, "index_keywords_word_count.xlsx", 
           sheetName = "analysis", rowNames = FALSE)
write.csv(df.word_count,file="all_keywords_word_count.csv") 

4.2 Plot

ggplot(df.word_count, aes(x = rank, y = Total)) + 
  geom_point(color = "blue") +
  theme_bw() + 
  labs(x = "Rank", y = "Count", title = "Ranking Distribution for index keywords") +
  theme(legend.position = "top")

As we can see, both in the table and in the graph the most frequent factor **** will appear approximately:

  • 1.27 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 2 times more.
  • 1.65 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 3 times more.
  • 1.78 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 4 times more.
  • 1.82 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 5 times more.
  • 1.85 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 6 times more.
  • 2.23 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 7 times more.
  • 2.27 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 8 times more.
  • 2.54 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 9 times more.
  • 2.54 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 10 times more.
  • 2.66 times more than the factor ****, bearing in mind that, under Zipf’s law, it should theoretically be 11 times more.

The last column of the table above shows the relative errors of each factor. The average of these errors will be the metric we will use to determine if the observed data are close or not to the theoretical data defined by Zipf’s law. The relative error for this blaming will be NA%


5 Initial estimation

This estimation calculate \(x_{min}\), \(\alpha\) and makes CDF and determine minimum \(D\). With poweRlaw functions very easy to achive suggested steps 1-3.

5.0.1 Fit a discrete power law

We can fit a discrete power law (like this) in the usual way:

Valores <- word_count$count
m_pl <- displ$new(Valores)
#m_pl

5.0.2 Estimations: Xmin and \(\alpha\)

5.0.2.1 General

est_pl <- estimate_xmin(m_pl)
est_pl
## $gof
## [1] 0.01328784
## 
## $xmin
## [1] 1
## 
## $pars
## [1] 1.940508
## 
## $ntail
## [1] 4205
## 
## $distance
## [1] "ks"
## 
## attr(,"class")
## [1] "estimate_xmin"
MyLabel <- c("Method", "alfa", "sd_alfa", "Xmin", "sd_xmin", "ntail", "sd_ntail", "Stat", "sd_stat", "P_value")
alfa <-round(est_pl$pars, 3)
sd_alfa<-"NA"
xmin <-round(est_pl$xmin, 3)
sd_xmin <-"NA"
ntail <-round(est_pl$ntail, 3)
sd_ntail <-"NA"
stat <- round(est_pl$gof, 3)
sd_stat <-"NA"
P_value <- "NA"
KS_result <- c("MLE-KS",  alfa , sd_alfa, xmin, sd_xmin, ntail, sd_ntail, stat, sd_stat, P_value)

KS_df <- data.frame(rbind(KS_result))
names(KS_df) <- MyLabel
KS_df
##           Method  alfa sd_alfa Xmin sd_xmin ntail sd_ntail  Stat sd_stat
## KS_result MLE-KS 1.941      NA    1      NA  4205       NA 0.013      NA
##           P_value
## KS_result      NA

5.0.2.2 Complete estimations

m_pl$setXmin(est_pl)
#m_pl

From this results, \(x_{min}=\) 1 and \(\alpha=\) 1.9405078.

6 Investigate goodness of fit

6.0.1 Bootstrapping (case 2)

For this instance, sampling was conducted across no_of_sims= 1,000 bootstraps with threads=8 cores. Here is the output and calculated means and standard deviations:

bs_pl <- bootstrap_p(m_pl, no_of_sims=1000, threads=8, seed = 123)
#threads=core number of processor that used by function
#parallel::detectCores() determines how many cores in your computer
bs_pl

Comments:

\(x_{min}\) search space truncated at 1e+05. You have three options

  1. Increase \(x_{max}\) in estimate_xmins

  2. Specify \(x_{min}\) explicitly

  3. Ignore and hope for the best (which may be OK)

Some of your data is larger than \(x_{max}\). The xmax parameter is the upper bound of the xmin search space. You could try increasing it. If the estimated values are below \(x_{max}\), it’s probably OK not to worry about this. Expected total run time for 1000 sims, using 1 threads is 3.23 seconds.

MyLabel <- c("Method", "alfa", "sd_alfa", "Xmin", "sd_xmin", "ntail", "sd_ntail", "Stat", "sd_stat", "P_value")
alfa <- round(mean(bs_pl$bootstraps[, 3]),3) # Media of pars (es el alfa, exponente)
sd_alfa<-round(sd(bs_pl$bootstraps[, 3]),3) # sd of pars (es el alfa, exponente)
xmin <-round(mean(bs_pl$bootstraps[, 2]),3) # Media of Xmin
sd_xmin <-round(sd(bs_pl$bootstraps[, 2]),3) # sd of Xmin
ntail <-round(mean(bs_pl$bootstraps[, 4]),3) # Media of ntail
sd_ntail <- round(sd(bs_pl$bootstraps[, 4]),3) # sd of ntail
stat <- round(mean(bs_pl$bootstraps[, 1]),3) # Media of gof (es el KS)
sd_stat <- round(sd(bs_pl$bootstraps[, 1]),3) # sd of gof (es el KS)
P_value <- round(bs_pl$p,3)
boot_result <- c("Bootstrapping", alfa , sd_alfa, xmin, sd_xmin, ntail, sd_ntail, stat, sd_stat, P_value)

boot_df <- data.frame(rbind(boot_result))
names(boot_df) <- MyLabel
boot_df
##                    Method alfa sd_alfa  Xmin sd_xmin    ntail sd_ntail  Stat
## boot_result Bootstrapping 1.94   0.018 1.072   0.308 4047.928   619.59 0.006
##             sd_stat P_value
## boot_result   0.002       0

The p-value was calculated where the hypothesis is as follows:

H0: data is generated from a power law distribution

H1: data is not generated from a power law distribution

If P value more than 5% means that null hypothesis cannot be rejected maybe it is a power-law distribution. In this case the generated P value is 0, which is high and H0 cannot be rejected at the 5% level of significance. This indicates that we cannot reject the null hypothesis that the data in question follows a power law distribution — i.e. based on this p-value, we are very confident that it does.

Estimation <- data.frame(rbind(KS_df, boot_df))

library(openxlsx) 
write.xlsx(Estimation, "index_keywords_Estimation.xlsx", 
           sheetName = "results", rowNames = FALSE)
write.csv(Estimation,file="index_keywords_Estimation.csv") 

7 Reference

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  2. Barndorff-Nielsen, O. E., & Cox, D. R. (1995). Inference and Asymptotics. Chapman and Hall.

  3. Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-law distributions in empirical data. SIAM Review, 51(4), 661-703. http://www.jstor.org/stable/25662336

  4. Clauset, A., Young, M., & Gleditsch, K. S. (2007). On the frequency of severe terrorist events. The Journal of Conflict Resolution, 51(1), 58-87. http://www.jstor.org/stable/27638538

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  10. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1992). Numerical Recipes in C: The Art of Scientific Computing (2nd ed.). Cambridge University Press.

  11. Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., & De Bastiani, F. (2019). Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R. Chapman and Hall/CRC. doi:10.1201/9780429298547. An older version can be found at https://www.gamlss.com/.

  12. Stone, M. (1974). Journal of the Royal Statistical Society B, 36, 111.

  13. Unnikrishnan Nair, N., Sankaran, P. G., & Balakrishnan, N. (2018). Reliability Modelling and Analysis in Discrete Time. Academic Press. https://doi.org/10.1016/B978-0-12-801913-9.00003-8.

  14. Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57(2), 307-333. doi:10.2307/1912557. JSTOR 1912557.

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  16. Zipf, G. K. (1935). The Psychology of Language. Houghton-Mifflin.

  17. Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley.


  1. Computer Science Department, Old Dominion University, Norfolk VA, USA↩︎